alirezadir / Production-Level-Deep-LearningLinks
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
☆4,533Updated 5 months ago
Alternatives and similar repositories for Production-Level-Deep-Learning
Users that are interested in Production-Level-Deep-Learning are comparing it to the libraries listed below
Sorting:
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,379Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,623Updated 2 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,217Updated 3 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,223Updated last year
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,869Updated 2 years ago
- This repository is to prepare for Machine Learning interviews.☆1,603Updated 6 years ago
- https://huyenchip.com/ml-interviews-book/☆4,328Updated 7 months ago
- A Code-First Introduction to NLP course☆3,475Updated 2 years ago
- ✍️ A carefully curated list of NLP paper summaries☆1,479Updated 3 years ago
- Full Stack Deep Learning Online Course☆907Updated 4 years ago
- A curated list of references for MLOps☆13,428Updated 11 months ago
- PyTorch tutorials and best practices.☆1,700Updated 7 months ago
- A repo for data science related questions and answers☆2,426Updated 3 years ago
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆7,159Updated 4 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,173Updated last month
- This repo contains annotated research papers that I found really good and useful☆2,754Updated 2 months ago
- System design patterns for machine learning☆2,789Updated 4 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,417Updated last year
- Natural Language Processing Best Practices & Examples☆6,438Updated 3 years ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,128Updated last year
- Papers & presentation materials from Hugging Face's internal science day☆2,052Updated 5 years ago
- NYU Deep Learning Spring 2020☆6,773Updated 5 months ago
- Data science interview questions and answers☆9,610Updated last month
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,608Updated 2 years ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,498Updated 4 months ago
- A collection of various deep learning architectures, models, and tips☆17,291Updated last year
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,559Updated 4 years ago
- Answers to 120 commonly asked data science interview questions.☆3,823Updated last year
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,187Updated 2 years ago
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and cod…☆2,245Updated 3 years ago